There are a large number of sampling approaches that aim to improve the efficiency of samples and reduce the variance of MCMC. Some of these use variational approaches as proposal distributions, but ultimately the posterior is approximated by a set of samples of the latent variables [1]}, [2]}, [3]}, [4]}. In contrast, by allowing samples over variational distributions, our approach allows each sample to cover more space with less variance and greater efficiency.
